Job Overview
VINFAST is a pioneering electric
vehicle (EV) company committed to revolutionizing the automotive industry with sustainable and innovative mobility solutions. As a
leading player in the EV market, VinFast is
dedicated to delivering high-quality, cutting-edge electric vehicles that
redefine the driving experience. Our team consists of passionate professionals driven by a
shared vision of creating a greener and more
sustainable future through innovation, technology, and excellence.
Position
Responsibilities
- LLM
& Conversational AI: Research, fine-tune (SFT, LoRA/PEFT, RLHF/DPO), and evaluate LLMs
for natural, proactive, and personalized dialogue. Handle multi-intent
understanding and multi-zone control within a single command, and
implement RAG and Knowledge Bases for automotive domains (user manuals,
warranty & maintenance, traffic laws, POIs).
- Multi-agent
Systems: Design
architectures for agent orchestration, function/tool calling, planning,
and memory. Manage routing between domains (vehicle control, navigation,
knowledge, entertainment) and resolve task conflicts.
- Edge AI
& Optimization: Perform
model compression (quantization, pruning, knowledge distillation) and
optimize on-device inference for low latency and offline capability using
TensorRT, ONNX, or TFLite, balancing model quality against hardware
constraints.
- Personalization
& Proactivity: Build
Context Engines and recommendation models to proactively suggest routes,
charging stations, driving modes, HVAC, and entertainment content based on
context and user habits, learning continuously from real-world feedback.
- Safety & Quality: Develop AI Guardrails to control hallucinations,
block sensitive content, and protect personal data. Build evaluation benchmarks
per feature and ensure stable production operation (MLOps/LLMOps).
Requirements
- Experience: Minimum 3 years of hands-on experience
in AI projects, specifically in LLM/NLP and Agentic systems.
- Core Technical Skills: Mastery of Transformer/LLM
architectures, fine-tuning, RAG, function calling, and prompt &
context engineering. Proven experience designing multi-agent
orchestration, tool use, planning, and memory with output-quality control.
- Edge Deployment: Practical experience optimizing and
deploying models on edge/embedded devices using TensorRT, ONNX Runtime, or
TFLite.
- Software Engineering: Proficiency in Python and frameworks
such as PyTorch, HuggingFace, and vLLM. Experience bringing models to
production: MLOps/LLMOps, containerization, model serving, and monitoring.
- Education: Bachelor's degree or higher in
Computer Science, IT, Data Science, Applied Mathematics, or related
fields. Strong technical English proficiency.
- Preferred Skills (Plus): Experience in Speech (ASR, TTS, Voice Cloning,
Wake-word Detection, Voice Biometrics), Computer Vision (object detection,
driver/occupant monitoring, video understanding), or the
Automotive/IVI/Embedded/real-time domain. Experience shipping large-scale LLM/Multi-agent
products, publications at top-tier conferences (NeurIPS, ICML, ACL, CVPR,
INTERSPEECH, etc.), or open-source contributions are highly valued.
Benefits
- Competitive salary
- Premium healthcare package, including PVI insurance & annual health check-ups
- 13th-month salary & performance bonuses to reward your contributions
- Enjoy preferential pricing for services within the Vingroup ecosystem including Vinmec, Vinpearl, and Vinschool...
- Opportunity to collaborate with and learn from industry-leading professionals in the automotive domain
To all recruitment agencies: VinFast does not accept agency resumes. Please do not forward resumes to our careers alias or other VinFast employees. VinFast is not responsible for any fees related to unsolicited resumes.
Skills Required
- At least 3 years of hands-on experience in AI projects, specifically LLM/NLP and agentic systems
- Mastery of Transformer and LLM architectures, fine-tuning, RAG, function calling, prompt engineering, and context engineering
- Experience designing multi-agent orchestration, tool use, planning, memory, and output-quality control
- Practical experience optimizing and deploying models on edge or embedded devices using TensorRT, ONNX Runtime, or TFLite
- Proficiency in Python, PyTorch, Hugging Face, and vLLM
- Experience bringing AI models to production using MLOps or LLMOps, containerization, model serving, and monitoring
- Bachelor's degree or higher in Computer Science, IT, Data Science, Applied Mathematics, or a related field
- Strong technical English proficiency
- Experience in speech technologies, computer vision, automotive, IVI, embedded, or real-time systems
- Experience shipping large-scale LLM or multi-agent products
- Publications at top-tier conferences or open-source contributions
What We Do
VinFast is a Vietnamese automotive manufacturer focused on electric mobility. The company designs and produces smart electric vehicles, including cars, SUVs, e-buses and e-scooters, combining advanced technology with highly automated manufacturing. Its mission is to make sustainable transportation accessible worldwide and accelerate the transition to an all-electric future through innovative, environmentally friendly products, charging solutions, warranties, and customer services.






